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Tag: Autonomous
The Autonomous Web (Studies in Big Data, 101)
Price:$159.99– $122.66
(as of Jan 25,2025 19:57:52 UTC – Details)
Publisher : Springer; 1st ed. 2022 edition (December 18, 2021)
Language : English
Hardcover : 176 pages
ISBN-10 : 3030909352
ISBN-13 : 978-3030909352
Item Weight : 15 ounces
Dimensions : 6.14 x 0.44 x 9.21 inches
The Autonomous Web (Studies in Big Data, 101)In today’s digital age, the concept of the Autonomous Web is becoming increasingly relevant. With the rise of artificial intelligence and machine learning technologies, the web is becoming more intelligent and autonomous than ever before.
This book, part of the Studies in Big Data series, delves into the world of the Autonomous Web and explores the ways in which it is transforming our online experiences. From personalized content recommendations to automated customer service chatbots, the Autonomous Web is reshaping the way we interact with the internet.
Through a series of case studies and real-world examples, this book explores the potential benefits and challenges of the Autonomous Web. It also examines the ethical implications of allowing machines to make decisions on our behalf and offers insights into how we can ensure a more ethical and human-centered approach to autonomous technology.
Whether you’re a data scientist, a web developer, or simply someone interested in the future of technology, The Autonomous Web is a must-read for anyone looking to stay ahead of the curve in the ever-evolving world of online innovation.
#Autonomous #Web #Studies #Big #Data,business 101 for data professionalsMorgan Stanley Raises Tesla, Inc. (TSLA) Price Target to $430, Citing AI-Driven Autonomous Mobility Growth
We recently compiled a list of the Top 10 AI Stocks on Latest Analyst Ratings and News. In this article, we are going to take a look at where Tesla, Inc. (NASDAQ:TSLA) stands against the other AI stocks.
As President Joe Biden nears the end of his term, he is issuing a series of executive orders. In the latest, the President has signed an order to provide federal support to address the massive energy needs of fast-growing advanced artificial intelligence data centers.
READ NOW: Top 10 AI Stocks on Wall Street’s Radar and 15 Important AI News and Ratings on Investors’ Radar
The order will allow federal land owned by the Defense and Energy departments to host gigawatt-scale AI data centers and new clean power facilities. According to Biden, the order will “accelerate the speed at which we build the next generation of AI infrastructure here in America, in a way that enhances economic competitiveness, national security, AI safety, and clean energy”.
According to the order, companies tapping federal land for AI data centers must also purchase an “appropriate share” of American-made semiconductors. These purchases will be decided on a case-by-case basis.
“It’s really vital that we ensure that the AI industry can build out the infrastructure for training and using powerful AI models here in the United States”.
Several known names, including OpenAI Senior Vice President of Global Affairs Chris Lehane, have commended this effort. Lehane also called out for cultivating a robust domestic infrastructure for the growing U.S. artificial intelligence sector.
“So what you get with the Biden administration today is — at least from a signaling perspective — on federal land, trying to short the timeline between when you can get your project shovels in the ground and then the project going forward”.
According to Lehane, the incoming Trump administration sees AI through two lenses — national security and economic security. He hopes that both sides of the coin will amalgamate into a national strategy.
AI Company OpenAI has also recently laid out its vision for artificial intelligence development in the U.S. According to the company, the US needs investment from abroad and supportive regulation to stay ahead of China in the race for nascent technology. In a 15-page document called the “Economic Blueprint”, it said that “Chips, data, and energy are the keys to winning AI” and that the U.S. needs to act now to craft nationwide rules that can help secure its advantage.
Morgan Stanley Raises Tesla, Inc. (TSLA) Price Target to $430, Citing AI-Driven Autonomous Mobility GrowthIn a recent report, Morgan Stanley analysts have raised their price target on Tesla, Inc. (TSLA) to $430, citing the company’s advancements in AI-driven autonomous mobility technology. The analysts believe that Tesla’s innovative approach to self-driving technology will drive significant growth in the coming years, leading to a higher valuation for the company.
According to the report, Tesla’s advancements in AI and machine learning have enabled the company to make significant progress in developing fully autonomous vehicles. This technology has the potential to revolutionize the transportation industry, making driving safer, more efficient, and more convenient for consumers.
Morgan Stanley’s bullish outlook on Tesla’s autonomous mobility business comes as the company continues to make significant investments in research and development. Tesla CEO Elon Musk has repeatedly emphasized the importance of AI and machine learning in achieving fully autonomous driving, and the company has made significant progress in this area in recent years.
Overall, Morgan Stanley’s analysts believe that Tesla’s AI-driven autonomous mobility technology will drive significant value for the company in the long term, leading to a higher price target of $430. Investors are advised to keep a close eye on Tesla’s advancements in this area, as they could have a significant impact on the company’s future growth prospects.
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Morgan Stanley, Tesla Inc, TSLA, price target, $430, AI, autonomous mobility, growth, investment, stock analysis
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Learn Robotics Programming: Build and control AI-enabled autonomous robots using
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Are you fascinated by robots and want to learn how to program and control them? Look no further than our Robotics Programming course, where you will learn how to build and control AI-enabled autonomous robots using Python and ROS (Robot Operating System).
In this course, you will delve into the world of robotics programming and learn how to design, build, and program robots that can perform tasks autonomously. You will learn how to use Python, a versatile and beginner-friendly programming language, to write code for controlling robots and implementing AI algorithms.
Additionally, you will learn how to use ROS, a popular open-source robotics middleware, to manage robot hardware and software components, as well as to facilitate communication between different parts of the robot system.
By the end of this course, you will have the skills and knowledge to create your own autonomous robots and control them using Python and ROS. So, if you are ready to embark on an exciting journey into the world of robotics programming, enroll in our course today and start building and controlling AI-enabled autonomous robots!
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raspberry piPractical Robotics in C++: Build and Program Real Autonomous Robots Using Raspbe
Practical Robotics in C++: Build and Program Real Autonomous Robots Using Raspbe
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rry Pi and ArduinoIn this post, we will explore the exciting world of practical robotics using C++ programming language. We will learn how to build and program real autonomous robots using popular hardware platforms like Raspberry Pi and Arduino.
First, we will cover the basics of robotics and autonomous systems, including sensors, actuators, and control systems. We will then dive into the C++ programming language and learn how to write code for our robots.
Next, we will discuss how to interface with hardware components like motors, sensors, and cameras using C++. We will also explore how to communicate with external devices and systems, such as GPS modules and WiFi modules.
Finally, we will walk through the process of building a real autonomous robot using Raspberry Pi and Arduino. We will cover everything from assembling the hardware components to writing the software code to control the robot’s movements.
By the end of this post, you will have the knowledge and skills to build and program your own autonomous robots using C++ and popular hardware platforms like Raspberry Pi and Arduino. Get ready to unleash your creativity and explore the possibilities of practical robotics!
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raspberry pi
Mastering Robotics with C++ and Raspberry Pi: A Hands-On Guide to Autonomous Systems
Robotics is a rapidly growing field that has the potential to revolutionize industries such as manufacturing, healthcare, and transportation. If you are interested in learning how to build and program robots, mastering robotics with C++ and Raspberry Pi is a great way to get started.C++ is a powerful and versatile programming language that is widely used in the field of robotics. It offers the flexibility and control needed to create complex robotic systems. Raspberry Pi, on the other hand, is a low-cost, credit card-sized computer that can be used as the brain of your robot. With its powerful processing capabilities and easy-to-use interface, Raspberry Pi is an ideal platform for building autonomous systems.
In the book “Mastering Robotics with C++ and Raspberry Pi: A Hands-On Guide to Autonomous Systems,” author Lentin Joseph provides a comprehensive guide to building and programming robots using these two technologies. The book covers everything from setting up your Raspberry Pi to building a basic robot chassis, to programming your robot to perform tasks autonomously.
The hands-on approach of the book allows readers to learn by doing, with step-by-step instructions and practical examples. Readers will learn how to use C++ to write code for controlling motors, sensors, and other components of their robot. They will also learn how to interface with the Raspberry Pi’s GPIO pins to control external devices, such as cameras and displays.
One of the key features of the book is its focus on autonomous systems. Readers will learn how to program their robots to navigate autonomously using sensors such as ultrasonic and infrared sensors. They will also learn how to use machine learning algorithms to make their robots more intelligent and adaptive.
Whether you are a beginner or an experienced programmer, “Mastering Robotics with C++ and Raspberry Pi” is a valuable resource for anyone interested in robotics. By the end of the book, readers will have the skills and knowledge needed to build and program their own autonomous robots, opening up a world of possibilities in the field of robotics.
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Building Autonomous Robots with Raspberry Pi: A Practical Guide to Programming in C++
Building Autonomous Robots with Raspberry Pi: A Practical Guide to Programming in C++The Raspberry Pi is a small but powerful computer that has become increasingly popular for educational purposes, hobbyists, and DIY projects. One of the most exciting applications of the Raspberry Pi is building autonomous robots. With the right tools and programming knowledge, you can create your own robot that can navigate its environment, avoid obstacles, and perform various tasks autonomously.
In this article, we will discuss how to build autonomous robots using a Raspberry Pi and how to program them using the C++ programming language. C++ is a versatile and powerful programming language that is commonly used in robotics and other embedded systems. By learning C++, you will be able to create more complex and efficient programs for your robot.
To build an autonomous robot with a Raspberry Pi, you will need some basic components such as motors, wheels, sensors, and a chassis. You can find many kits online that include all the necessary hardware for building a robot. Once you have assembled your robot, you can start programming it using C++.
Programming in C++ for robotics involves understanding how to interact with various sensors and actuators, such as motors and servos. You will need to write code that reads sensor data, processes it, and sends commands to the motors to move the robot accordingly. Additionally, you will need to implement algorithms for tasks such as obstacle avoidance, path planning, and localization.
One of the key advantages of using a Raspberry Pi for robotics is its versatility and connectivity. The Raspberry Pi has various communication interfaces such as GPIO pins, I2C, SPI, and UART, which allow you to connect a wide range of sensors and actuators to your robot. You can also use Wi-Fi or Bluetooth modules to communicate with your robot wirelessly.
In addition to programming in C++, you can also use libraries and frameworks such as OpenCV and ROS (Robot Operating System) to simplify the development of your robot. OpenCV is a popular computer vision library that can help your robot recognize objects and navigate its environment. ROS is a middleware framework that provides tools and libraries for building complex robot systems.
Overall, building autonomous robots with a Raspberry Pi and programming in C++ can be a rewarding and educational experience. By learning how to program robots, you will develop valuable skills in robotics, computer science, and engineering. With the right tools and knowledge, you can create robots that can perform various tasks autonomously and interact with their environment in intelligent ways.
So, if you are interested in robotics and want to build your own autonomous robot, consider using a Raspberry Pi and programming in C++. With the right resources and dedication, you can create a robot that can roam around, interact with its surroundings, and even perform tasks that benefit society. Happy robot building!
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From Concept to Creation: Building Real Autonomous Robots with C++ on Raspberry Pi
Autonomous robots have long been a dream of science fiction enthusiasts and tech geeks alike. The idea of a machine that can think, learn, and act on its own is both exciting and a little bit terrifying. But thanks to advancements in technology, building your own autonomous robot is now more accessible than ever.One popular platform for building autonomous robots is the Raspberry Pi, a small, affordable computer that is perfect for running robot software. In this article, we’ll discuss how you can use the C++ programming language to create your own autonomous robot on a Raspberry Pi.
The first step in building an autonomous robot is to come up with a concept. What do you want your robot to do? Will it navigate a maze, follow a line, or perform some other task? Once you have a clear idea of what you want your robot to accomplish, you can start gathering the necessary components.
For a basic autonomous robot, you will need a Raspberry Pi board, a motor controller, motors, wheels, and various sensors such as infrared or ultrasonic sensors for detecting obstacles. You may also want to add a camera or other peripherals to give your robot more capabilities.
Next, you will need to install the necessary software on your Raspberry Pi. C++ is a popular programming language for robotics because it is fast, efficient, and well-suited for real-time applications. You can use libraries such as OpenCV for image processing, or ROS (Robot Operating System) for robot control and communication.
Once you have your hardware and software set up, it’s time to start coding. You will need to write algorithms for tasks such as obstacle detection, path planning, and motor control. C++ is a powerful language that allows you to create complex algorithms and data structures, making it ideal for building autonomous robots.
As you write your code, it’s important to test it thoroughly to ensure that your robot behaves as expected. You may need to tweak your algorithms or adjust your hardware setup to improve performance. Building an autonomous robot is a challenging but rewarding process that requires patience and perseverance.
In conclusion, building a real autonomous robot with C++ on a Raspberry Pi is a fun and rewarding project that can teach you valuable skills in robotics and programming. By starting with a clear concept, gathering the necessary components, and writing efficient code, you can create a robot that can navigate its environment and perform tasks autonomously. So why not give it a try and see what amazing creations you can come up with?
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Unlocking the Power of Autonomous Robots: C++ Programming on Raspberry Pi
Autonomous robots are becoming increasingly popular in various industries, from manufacturing to agriculture to healthcare. These robots are capable of performing tasks without human intervention, making them more efficient and cost-effective.One of the key components of autonomous robots is their programming. C++ is a powerful programming language that is commonly used in robotics because of its speed and efficiency. When combined with a Raspberry Pi, a small, affordable computer that can be used to control robots, the possibilities are endless.
By unlocking the power of autonomous robots through C++ programming on a Raspberry Pi, developers can create sophisticated robots that can navigate through complex environments, perform precise tasks, and interact with their surroundings.
One of the main advantages of using C++ for programming autonomous robots is its performance. C++ is a compiled language, which means the code is translated into machine code before being executed. This results in faster and more efficient code, which is essential for real-time applications like robotics.
In addition, C++ is a versatile language that provides developers with a wide range of tools and libraries to work with. This allows them to easily implement complex algorithms, control hardware peripherals, and communicate with other devices.
When combined with a Raspberry Pi, developers can create autonomous robots that are not only powerful but also compact and cost-effective. The Raspberry Pi is a small computer that is equipped with GPIO pins, which can be used to connect sensors, motors, and other hardware components. This makes it an ideal platform for controlling robots and other autonomous systems.
To get started with autonomous robots using C++ programming on a Raspberry Pi, developers can take advantage of various resources available online. There are tutorials, forums, and communities dedicated to robotics and programming, where developers can find support and guidance.
Overall, unlocking the power of autonomous robots through C++ programming on a Raspberry Pi opens up a world of possibilities for developers. By leveraging the speed, efficiency, and versatility of C++ and the compactness and affordability of the Raspberry Pi, developers can create innovative robots that can revolutionize industries and improve our daily lives.
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Creating Autonomous Robots with Practical Robotics in C++ on Raspberry Pi
Creating Autonomous Robots with Practical Robotics in C++ on Raspberry PiAutonomous robots have become a popular field of study and research in recent years, with applications ranging from self-driving cars to delivery drones. These robots are designed to operate without human intervention, using sensors and decision-making algorithms to navigate and interact with their environment.
One way to create autonomous robots is through the use of Practical Robotics, a programming framework that allows developers to easily build and control robots using C++ on platforms like the Raspberry Pi. The Raspberry Pi is a small, affordable computer that is perfect for DIY robotics projects, thanks to its powerful processing capabilities and GPIO pins for connecting sensors and actuators.
To get started with creating autonomous robots using Practical Robotics on a Raspberry Pi, you will need a few things:
1. Raspberry Pi board
2. MicroSD card with Raspbian OS
3. Sensors and actuators (such as ultrasonic sensors, motors, and wheels)
4. C++ programming knowledge
Once you have gathered all the necessary hardware and software, you can begin by installing the Practical Robotics library on your Raspberry Pi. This library provides a set of C++ classes and functions for controlling motors, reading sensor data, and making decisions based on that data. You can find the installation instructions on the Practical Robotics website or GitHub repository.
Next, you can start writing your C++ code to create autonomous behavior for your robot. For example, you can write code to read sensor data from an ultrasonic sensor and use that data to avoid obstacles while moving forward. You can also write code to control the motors of your robot to move it in different directions based on sensor input.
By combining sensor data with decision-making algorithms in your C++ code, you can create sophisticated autonomous behaviors for your robot. For example, you can program your robot to follow a line on the floor, navigate through a maze, or even play a game of soccer against another robot.
Overall, creating autonomous robots with Practical Robotics in C++ on a Raspberry Pi is a fun and educational way to learn about robotics and programming. With the right hardware and software tools, you can build and control your own autonomous robot to perform a variety of tasks. So why wait? Start building your own autonomous robot today!
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Unlocking the Potential of Robotics: Building and Programming Autonomous Robots with C++ on Raspberry Pi
Robotics has always been an exciting field with endless possibilities. From manufacturing to healthcare to agriculture, robots have the potential to revolutionize the way we work and live. And now, with the rise of affordable and accessible technology like the Raspberry Pi, building and programming autonomous robots has never been easier.One of the most popular programming languages for robotics is C++. Known for its speed and efficiency, C++ is a powerful language that is well-suited for controlling and interacting with hardware. When paired with the Raspberry Pi, a tiny but mighty computer, C++ becomes the perfect tool for building and programming autonomous robots.
The first step in building an autonomous robot with C++ on Raspberry Pi is to assemble the hardware. This can include motors, sensors, cameras, and other components that will allow the robot to navigate and interact with its environment. Once the hardware is in place, the next step is to write the software that will control the robot’s movements and actions.
Programming in C++ on the Raspberry Pi allows for seamless integration with the hardware, making it easy to control motors, read sensor data, and process images from a camera. With the right libraries and tools, it is possible to create complex behaviors and algorithms that will allow the robot to navigate autonomously, avoid obstacles, and perform tasks with precision.
One of the key advantages of using C++ for robotics is its speed and efficiency. This is crucial when building autonomous robots that need to make split-second decisions and react to changes in their environment in real-time. With C++ on the Raspberry Pi, developers can create high-performance algorithms that can handle complex computations quickly and reliably.
Another benefit of using C++ on the Raspberry Pi for robotics is the vast amount of resources and community support available. There are countless tutorials, forums, and libraries dedicated to helping developers build and program autonomous robots with C++ on the Raspberry Pi. This means that even beginners can quickly get up to speed and start creating their own robots.
In conclusion, unlocking the potential of robotics with C++ on the Raspberry Pi is an exciting and rewarding endeavor. By combining the power of C++ with the flexibility of the Raspberry Pi, developers can create autonomous robots that are capable of performing a wide range of tasks with speed and precision. Whether you are a hobbyist looking to build your first robot or a professional seeking to push the boundaries of robotics, C++ and the Raspberry Pi offer endless possibilities for innovation and creativity.
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